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Found 1,471 Skills
Resilience review and testing: evaluate error handling, graceful degradation, API contract compliance, edge cases, and failure recovery with browser-based fault injection and validation.
Interactive workflow for creating new skills for the skills-il organization. Guides through category selection, use case definition, folder scaffolding, metadata.json generation with bilingual metadata, instruction writing, Hebrew companion creation, and validation. Use when user asks to create a new skill, scaffold a skill for skills-il, write a SKILL.md, contribute a skill, new skill template, or liztor skill chadash. Enforces skills-il conventions (kebab-case naming, Hebrew transliterations, bilingual display names, progressive disclosure, validate-skill.sh compliance). Do NOT use for editing existing skills, creating skills for non-skills-il platforms, or generic markdown file creation.
Guides creation and validation of custom dotnet new templates. Generates templates from existing projects and validates template.json for authoring issues. USE FOR: creating a reusable dotnet new template from an existing project, validating template.json files for schema compliance and parameter issues, bootstrapping .template.config/template.json with correct identity, shortName, parameters, and post-actions, packaging templates as NuGet packages for distribution. DO NOT USE FOR: finding or using existing templates (use template-discovery and template-instantiation), MSBuild project file issues unrelated to template authoring, NuGet package publishing (only template packaging structure).
Analyze and transform messy, prototype, overgrown, slop-prone, or hard-to-maintain software repositories into maintainable product-shaped codebases while preserving existing product behavior. Use when the user asks to antislop a codebase, clean up a messy repo, run a maintainability migration, write a refactor plan, modernize structure, improve TypeScript/type boundaries, harden tests, reduce large files, clean architecture, coordinate subagent-driven refactors, or produce a final migration audit/report/microsite. Do not use for broader production-readiness specialties such as security audits, observability/logging programs, compliance hardening, SRE/runbook work, or reliability engineering unless the user explicitly scopes those as part of the maintainability refactor.
Manage Harness Artifact Registry (AR) via MCP. Configure private registries for Docker, Helm, Maven, npm, and PyPI artifacts, set up upstream proxies for caching public images, configure RBAC and cross-region replication, and define security scanning policies with CVE thresholds and license compliance checks. Use when asked to set up an artifact registry, configure Docker or Helm repositories, manage artifact security scanning, or set up replication. Do NOT use for creating connectors to external registries (use create-connector instead). Trigger phrases: artifact registry, docker registry, helm repository, artifact security, image scanning, private registry, artifact replication, CVE threshold, license compliance, SBOM.
Use this skill when working with Brain Imaging Data Structure (BIDS) datasets: organizing neuroscience and biomedical data (MRI, EEG, MEG, iEEG, PET, microscopy, NIRS, motion capture, EMG, MR spectroscopy, behavioral), querying BIDS layouts, validating compliance, converting DICOM to BIDS, writing metadata sidecars, or creating BIDS derivatives.
Package specification compliance for Elastic integration packages. Covers manifest structure (format_version, conditions, variables, routing rules), changelog schema and semantic version bumps, and alignment with the upstream elastic/package-spec. Use when building or reviewing manifest.yml, changelog.yml, or debugging elastic-package lint/check errors on package metadata.
Conventional Commits v1.0.0 standards for git messages. Use when (1) creating git commits, (2) writing or drafting commit messages, (3) reviewing commit message format, (4) explaining commit conventions, or (5) validating commit message compliance.
Expert knowledge of academic writing standards for peer-reviewed papers, including citation integrity, style compliance, clarity, and scientific writing best practices. Use when reviewing or editing academic manuscripts, papers, or research documentation.
Find every way users can break your AI before they do. Use when you need to red-team your AI, test for jailbreaks, find prompt injection vulnerabilities, run adversarial testing, do a safety audit before launch, prove your AI is safe for compliance, stress-test guardrails, or verify your AI holds up against adversarial users. Covers automated attack generation, iterative red-teaming with DSPy, and MIPROv2-optimized adversarial testing.
Score, grade, or evaluate things using AI against a rubric. Use when grading essays, scoring code reviews, rating candidate responses, auditing support quality, evaluating compliance, building a quality rubric, running QA checks against criteria, assessing performance, rating content quality, or any task where you need numeric scores with justifications — not just categories.
Autonomous patent examination agent. Simulates USPTO examination by analyzing applications for compliance with 35 U.S.C. §§ 101, 102, 103, 112 and identifying potential office action issues.